{"id":"https://openalex.org/W4390532511","doi":"https://doi.org/10.1145/3632410.3632486","title":"Incremental Isolation Forest to Handle Concept Drift in Anomaly Detection","display_name":"Incremental Isolation Forest to Handle Concept Drift in Anomaly Detection","publication_year":2024,"publication_date":"2024-01-03","ids":{"openalex":"https://openalex.org/W4390532511","doi":"https://doi.org/10.1145/3632410.3632486"},"language":"en","primary_location":{"id":"doi:10.1145/3632410.3632486","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3632410.3632486","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002181996","display_name":"Nidhi Ahlawat","orcid":"https://orcid.org/0000-0002-9156-9707"},"institutions":[{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Nidhi Ahlawat","raw_affiliation_strings":["Computer Science & Engineering, Indian Institute of Technology Guwahati, India"],"raw_orcid":"https://orcid.org/0000-0002-9156-9707","affiliations":[{"raw_affiliation_string":"Computer Science & Engineering, Indian Institute of Technology Guwahati, India","institution_ids":["https://openalex.org/I1317621060"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000346770","display_name":"Amit Awekar","orcid":"https://orcid.org/0000-0003-1559-8247"},"institutions":[{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Amit Awekar","raw_affiliation_strings":["Computer Science and Engineering, Indian Institute of Technology Guwahati, India"],"raw_orcid":"https://orcid.org/0000-0003-1559-8247","affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Indian Institute of Technology Guwahati, India","institution_ids":["https://openalex.org/I1317621060"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5002181996"],"corresponding_institution_ids":["https://openalex.org/I1317621060"],"apc_list":null,"apc_paid":null,"fwci":0.3311,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60027699,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"582","last_page":"583"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7497656345367432},{"id":"https://openalex.org/keywords/isolation","display_name":"Isolation (microbiology)","score":0.7282925844192505},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6869187355041504},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.6063140630722046},{"id":"https://openalex.org/keywords/concept-drift","display_name":"Concept drift","score":0.5922836661338806},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5165213942527771},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4533202350139618},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34480059146881104},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.13399752974510193}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7497656345367432},{"id":"https://openalex.org/C2775941552","wikidata":"https://www.wikidata.org/wiki/Q25212305","display_name":"Isolation (microbiology)","level":2,"score":0.7282925844192505},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6869187355041504},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.6063140630722046},{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.5922836661338806},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5165213942527771},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4533202350139618},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34480059146881104},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.13399752974510193},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C89423630","wikidata":"https://www.wikidata.org/wiki/Q7193","display_name":"Microbiology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3632410.3632486","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3632410.3632486","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2296719434","https://openalex.org/W2899638272","https://openalex.org/W3104917574"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W3210364259","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4300558037","https://openalex.org/W4377864969","https://openalex.org/W3030345572"],"abstract_inverted_index":{"Isolation":[0,66,81,92,99],"Forest":[1,67,82,93,100],"(iForest)":[2],"is":[3],"a":[4],"well-known":[5],"model":[6],"for":[7],"anomaly":[8,128],"detection":[9,129],"task.":[10],"It":[11],"works":[12,75],"by":[13],"identifying":[14],"regions":[15,43],"corresponding":[16],"to":[17,77,83,85,94,103],"existing":[18,49,80,98],"anomalies":[19,37,50],"in":[20,33,40,70,101,127],"the":[21,24,41,45,55,63,79,86,97,104],"data.":[22,59,108],"With":[23],"arrival":[25,105],"of":[26,44,57,65,106],"new":[27,42,58,107],"data,":[28],"concept":[29,87],"drift":[30],"can":[31,38,51],"occur":[32,39],"two":[34],"ways.":[35],"First,":[36],"feature":[46],"space.":[47],"Second,":[48],"become":[52],"normal":[53],"with":[54,124],"addition":[56],"We":[60,89],"observe":[61],"that":[62,117],"performance":[64],"severely":[68],"degrades":[69],"both":[71],"these":[72],"scenarios.":[73],"Current":[74],"fail":[76],"tune":[78],"adapt":[84],"drift.":[88],"propose":[90],"Incremental":[91],"quickly":[95],"update":[96],"response":[102],"Initial":[109],"experimental":[110],"results":[111],"using":[112],"three":[113],"real-world":[114],"datasets":[115],"indicate":[116],"our":[118],"approach":[119],"achieves":[120],"significant":[121],"time":[122],"savings":[123],"minimal":[125],"loss":[126],"performance.":[130]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}